von Bibra, H.* ; Saha, S.* ; Hapfelmeier, A.* ; Mueller, G.* ; Schwarz, P.E.
     
 
    
        
Impact of the triglyceride/high-density lipoprotein cholesterol ratio and the hypertriglyceremic-waist phenotype to predict the metabolic syndrome and insulin resistance.
    
    
        
    
    
        
        Horm. Metab. Res. 49, 542-549 (2017)
    
    
    
		
		
			
				Insulin resistance is the underlying mechanism for the metabolic syndrome and associated dyslipidaemia that theoretically implies a practical tool for identifying individuals at risk for cardiovascular disease and type-2-diabetes. Another screening tool is the hypertriglyceremic-waist phenotype (HTW). There is important impact of the ethnic background but a lack of studied European populations for the association of the triglyceride/ high-density lipoprotein cholesterol (HDL-C) ratio and insulin resistance. This observational, retrospective study evaluated lipid ratios and the HTW for predicting the metabolic syndrome/insulin resistance in 1932 non-diabetic individuals from Germany in the fasting state and during a glucose tolerance test. The relations of triglyceride/HDL-C, total-cholesterol/HDL-C, and low-density lipoprotein cholesterol/HDL-C with 5 surrogate estimates of insulin resistance/sensitivity and metabolic syndrome were analysed by linear regression analysis and receiver operating characteristics (ROC) in participants with normal (n = 1 333) or impaired fasting glucose (n = 599), also for the impact of gender. Within the lipid ratios, triglyceride/ HDL-C had the strongest associations with insulin resistance/ sensitivity markers. In the prediction of metabolic syndrome, diagnostic accuracy was good for triglyceride/HDL-C (area under the ROC curve 0.817) with optimal cut-off points (in mg/dl units) of 2.8 for men (80 % sensitivity, 71 % specificity) and 1.9 for women (80 % sensitivity, 75 % specificity) and fair for HTW and HOMA-IR (area under the curve 0.773 and 0.761). These data suggest the triglyceride/HDL-C ratio as a physiologically relevant and practical index for predicting the concomitant presence of metabolic syndrome, insulin resistance and dyslipidaemia for therapeutic and preventive care in apparently healthy European populations.
			
			
				
			
		 
		
			
				
					
					Impact Factor
					Scopus SNIP
					Web of Science
Times Cited
					Scopus
Cited By
					
					Altmetric
					
				 
				
			 
		 
		
     
    
        Publikationstyp
        Artikel: Journalartikel
    
 
    
        Dokumenttyp
        Wissenschaftlicher Artikel
    
 
    
        Typ der Hochschulschrift
        
    
 
    
        Herausgeber
        
    
    
        Schlagwörter
        Metabolic Syndrome ; Insulin Resistance ; Triglycerides ; Hdl Cholesterol ; Hypertriglyceremic-waist Phenotype; American-diabetes-association; Homeostasis Model Assessment; Preserved Ejection Fraction; Coronary-heart-disease; Cardiovascular-disease; Glucose-tolerance; Risk-factors; Critical-appraisal; Individuals; Sensitivity
    
 
    
        Keywords plus
        
    
 
    
    
        Sprache
        
    
 
    
        Veröffentlichungsjahr
        2017
    
 
    
        Prepublished im Jahr 
        
    
 
    
        HGF-Berichtsjahr
        2017
    
 
    
    
        ISSN (print) / ISBN
        0018-5043
    
 
    
        e-ISSN
        1439-4286
    
 
    
        ISBN
        
    
 
    
        Bandtitel
        
    
 
    
        Konferenztitel
        
    
 
	
        Konferzenzdatum
        
    
     
	
        Konferenzort
        
    
 
	
        Konferenzband
        
    
 
     
		
    
        Quellenangaben
        
	    Band: 49,  
	    Heft: 7,  
	    Seiten: 542-549 
	    Artikelnummer: ,  
	    Supplement: ,  
	
    
 
  
        
            Reihe
            
        
 
        
            Verlag
            Thieme
        
 
        
            Verlagsort
            Stuttgart
        
 
	
        
            Tag d. mündl. Prüfung
            0000-00-00
        
 
        
            Betreuer
            
        
 
        
            Gutachter
            
        
 
        
            Prüfer
            
        
 
        
            Topic
            
        
 
	
        
            Hochschule
            
        
 
        
            Hochschulort
            
        
 
        
            Fakultät
            
        
 
    
        
            Veröffentlichungsdatum
            0000-00-00
        
 
         
        
            Anmeldedatum
            0000-00-00
        
 
        
            Anmelder/Inhaber
            
        
 
        
            weitere Inhaber
            
        
 
        
            Anmeldeland
            
        
 
        
            Priorität
            
        
 
    
        Begutachtungsstatus
        Peer reviewed
    
 
    
        Institut(e)
        Institute of Pancreatic Islet Research (IPI)
    
 
    
        POF Topic(s)
        90000 - German Center for Diabetes Research
    
 
    
        Forschungsfeld(er)
        Helmholtz Diabetes Center
    
 
    
        PSP-Element(e)
        G-502600-004
    
 
    
        Förderungen
        
    
 
    
        Copyright
        
    
 	
    
    
    
    
    
        Erfassungsdatum
        2017-09-07